update

app.py

@@ -205,7 +205,7 @@ with demo:
                 value=original_df[COLS] if original_df.empty is False else original_df,
                 headers=COLS,
                 datatype=TYPES,
-                visible=False,
+                visible=False
             )
             search_bar.submit(
                 update_table,
@@ -271,7 +271,7 @@ with demo:
                                 value=finished_eval_queue_df,
                                 headers=EVAL_COLS,
                                 datatype=EVAL_TYPES,
-                                row_count=5,
+                                row_count=5
                             )
                     with gr.Accordion(
                         f"🔄 Running Evaluation Queue ({len(running_eval_queue_df)})",
@@ -282,7 +282,7 @@ with demo:
                                 value=running_eval_queue_df,
                                 headers=EVAL_COLS,
                                 datatype=EVAL_TYPES,
-                                row_count=5,
+                                row_count=5
                             )
 
                     with gr.Accordion(
@@ -294,7 +294,7 @@ with demo:
                                 value=pending_eval_queue_df,
                                 headers=EVAL_COLS,
                                 datatype=EVAL_TYPES,
-                                row_count=5,
+                                row_count=5
                             )
             with gr.Row():
                 gr.Markdown("# ✉️✨ Submit your model here!", elem_classes="markdown-text")

src/display/css_html_js.py

@@ -1,5 +1,9 @@
 custom_css = """
 
+.gradio-container {
+  max-width: 100%!important;
+}
+
 .markdown-text {
     font-size: 16px !important;
 }

src/leaderboard/read_evals.py

@@ -56,8 +56,7 @@ class EvalResult:
             result_key = f"{org}_{model}_{precision.value.name}"
         full_model = "/".join(org_and_model)
 
-        still_on_hub, error, model_config = \
-            is_model_on_hub(full_model, config.get("model_sha", "main"), trust_remote_code=True, test_tokenizer=False)
+        still_on_hub, error, model_config = is_model_on_hub(full_model, config.get("model_sha", "main"), trust_remote_code=True, test_tokenizer=False)
         architecture = "?"
         if model_config is not None:
             architectures = getattr(model_config, "architectures", None)